Data 2011 - Data 2.0 Conference

Commoditization of Information The barriers are lowered for sourcing, managing, distributing, and interpreting information. Will increased competition and the race to undercut competitors commoditize information? Is data an asset, is it a public utility, or is it a fragmented network that resists commoditization? What types of data will resist commoditization? The Data Ecosystem Within the past 10 years, the amount of data we can access online has grown exponentially. Whether open government data, social data, or business data as a service, everyone from startups to Forture 500 corporations are discovering their role in the data supply chain and rethinking what business models are possible with data. What new types of companies will emerge that utilize newly accessible data? Will online structured data end up becoming centralized in services like Google or decentralized between 3rd parties? How do you fit into the data ecosystem, and how will the data ecosystem change in the next year?
Future of Social DataThe Future of Social Data panel tackles how the web will adapt to who we are and who we interact with. Where will my social data exist online, and who will own it? What are the efforts to standardize social data between web services? What buying habits or personal preferences can be inferred from our social data? How do we balance exposing social data on services like twitter with locking down social data in services like Gmail?
Technology

Data as a Service Data marketplaces are on the rise and data can be purchased and sourced for free from multiple companies and data collection tools but once you get that data, who owns it? Are you purchasing it or subscribing to it and what are the terms of use? New ideas of data ‘app stores’ like iTunes are on the rise. What are the technical and logistical hurdles to data as a service? Is the technology available for “big data” from financial or research firms to be accessed or monetized as a service?Scaling Out and Scaling Up Data growth rates are sky rocketing. IDC indicates that the world wide data will consist of nearly 2ZB (zettabytes) this year and continue to grow at exponential rates. Housing and managing all that data is spawning fantastic new technologies in data storage, management and processing capabilities from new; types of file systems, DataBases, NoSQL/Table Based (BigTable), Elastic DB’s, scale out storage arrays, replication, clustering, etc. Explore these technologies, their advantages and disadvantages and how they will help you get ahead.Data Storage Management Examine challenges with managing explosive data growth. Tools, techniques, technologies, processes and procedures are examined to help you visualize data storage, be prepared for rapid data storage growth, manage SLA’s, facilitate charge back and determine costs.
Society

Why Open Data? Governments have started opening data for many reasons: it is a politically positive action and it alleviates the responsibility of analyzing and interpreting the data internally. Social Networks open data so they can become more valuable as the hub of many spokes, since 3rd parties will develop applications that make their data more valuable. Will traditional businesses open their data? Are some forms of data such as financial data necessarily closed-off and high-priced?